12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Deep Learning for humans

scikit-learn: machine learning in Python

Apache Superset is a Data Visualization and Data Exploration Platform

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Streamlit — A faster way to build and share data apps.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Roadmap to becoming an Artificial Intelligence Expert in 2022

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

10 Weeks, 20 Lessons, Data Science for All!

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

📝 An awesome Data Science repository to learn and apply for real world problems.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.